from flask import Flask, request, jsonify
app = Flask(__name__)
import pandas as pd

# 加载模型
frequent_itemsets = pd.read_pickle('frequent_itemsets.pckl')
rules = pd.read_pickle('rule.pckl')

@app.route('/recommend', methods=['POST'])
def recommend():
    data = request.json.get('items', [])

    # 生成关联规则推荐
    recommendations = []
    for idx, rule in rules.iterrows():
        antecedents = list(rule['antecedents'])
        consequents = list(rule['consequents'])

        # 检查规则前件是否跟输入匹配
        if set(antecedents).issubset(set(data)):
            recommendations.extend(consequents)

    # 去重并返回结果
    recommendations = list(set(recommendations) - set(data))
    return jsonify({'recommendations': recommendations})

if __name__ == '__main__':
    app.run()